This work explores how population-based engagement prediction can address cold-start at scale in large learning resource collections. The paper introduces: (1) VLE, a novel dataset that consists of content and video based features extracted from publicly available scientific video lectures coupled with implicit and explicit signals related to…

Teachers often rely on curricular materials as support for implementing reform-based science practices and as educative materials to continue developing ways in which they teach and approach science. Therefore, it is important to understand how teachers develop and use curricular materials and how they learn from their experiences. However, we…

Mathematics anxiety and examination anxiety affect student well-being, engagement, and performance in the mathematics classroom. An increase in confidence in the mathematics classroom leads to a decrease in anxiety. This paper reports on the Five Question Approach (FQA) to teaching mathematics which provides teachers with a method of reducing…

Engagement in mathematics education is an important factor in a successful student experience. This paper reports findings from a study of Year 5 student perceptions of engagement during a two-week, inquiry-based learning (IBL), problem-posing investigation. The study triangulated data from semistructured interviews, video observations and student…

The challenge of learning programming in a MOOC is twofold: acquiring programming skills and learning online, independently. Automated testing and feedback systems, often offered in programming courses, may scaffold MOOC learners by providing immediate feedback and unlimited re-submissions of code assignments. However, research still lacks…

This paper focuses on the impact of introducing a Group Dynamics Training Activity (GDTA) on learners' reported engagement during the course. The context is a university Common European Framework of Reference for languages (CEFR) B2 French language online course over the course of two semesters. Data was collected in the form of online surveys…

In this contribution, we present a follow-up work-in-progress on an innovative system for facilitating small-group online discussions using an avatar during a video conference. A previous study has shown that the system had an effective, understandable, and more participatory interaction. Here, we examine long-term usage and its effects on…

This article intends to investigate the consistency between a few popular generative AI robots in the evaluation of massive open online course (MOOC) platforms. The four robots experimented with in the study were Claude+, GPT-4, Sage, and Dragonfly, which were tasked with awarding rating scores to the eight major dimensions, namely (1)…

This project seeks to understand the emergence of mathematical meanings mediated by learners' interactions with multiple artifacts. Extending our prior work which took an enactivist approach and revealed the dynamics of embodied interactions fundamental to understanding fraction division, we now employ a semiotic lens to illuminate how learners…

This commentary was written by ChatGPT, an artificial intelligence language model developed by OpenAI. It was conceived by the first author as a test for how the advent of predictive language modeling will create opportunities and challenges for researchers and teachers in mathematics education. The paper consists of a commentary that was written…

This article seeks to explore the convergent validity of (and thus the consistency between) a few popular generative artificial intelligence (AI) robots in evaluating popular mobile learning apps' usability. The three robots adopted in the study were Microsoft Copilot, Google PaLM, and Meta Llama, which were individually instructed to accord…

The purpose of this paper is to present a framework that illustrates teachers' and students' ways of noticing mathematical engagement. This framework offers clarity about the complexity of engagement, and it includes three elements: evaluations of the presence of engagement, descriptions of the nature of engagement, and features of the classroom…

Over the years, researchers have studied novice programming behaviors when doing assignments and projects to identify struggling students. Much of these efforts focused on using student programming and interaction features to predict student success at a course level. While these methods are effective at early detection of struggling students in…

Purpose: Distance learners are expected to actively participate in online learning settings to improve their cognitive level and promote more meaningful learning. However, without specific teaching skills and competencies from the instructors together with belief and capability of the distance learners themselves, their engagement in online…

This paper presents partial analysis from a comparative case study of two urban programs offering remote services to adult literacy learners during the pandemic. The focus of this qualitative analysis is the nature of digital engagement reported by adult learners identified as having reading EFLs 1 & 2. Data is derived from interviews…